Job Description A rapidly growing technology organization is seeking a
Data Solutions Engineer to design, enhance, and maintain a business-critical analytics platform used by strategic business teams. This role is ideal for an experienced Python developer who enjoys building data-driven applications, solving complex data challenges, and delivering insights that drive business decisions.
The successful candidate will work on a production-grade analytics solution that processes large volumes of information from diverse sources, integrates with internal and external systems, and delivers reporting, visualization, and decision-support capabilities. This position offers a unique opportunity to work directly with business stakeholders while building scalable solutions that impact day-to-day operations.
This is a fully remote opportunity within the United States. Required Skills & Experience
- Strong production-level Python development experience
- Experience building and supporting production-grade applications
- Hands-on experience with Pandas, NumPy, and data transformation workflows
- Proven ability to manage and process large, complex datasets
- Experience developing analytics, reporting, or business intelligence solutions
- Knowledge of API integrations and data exchange methodologies
- Experience with data visualization tools and libraries such as Plotly, Matplotlib, or Seaborn
- Strong understanding of software engineering best practices, testing methodologies, and version control systems
- Excellent communication skills with the ability to work directly with business stakeholders
- Experience translating business requirements into technical solutions
Desired Skills & Experience
- Experience with Streamlit, Gradio, Dash, Taipy, or similar Python UI frameworks
- Experience implementing data validation frameworks such as Pydantic or Pandera
- Familiarity with geospatial analytics and data processing
- Experience within insurance, financial services, or other regulated industries
- Experience deploying and maintaining cloud-based analytics applications
- Knowledge of SQL and modern data engineering concepts
- Background in sales analytics, data quality initiatives, or data governance programs
What You Will Be Doing Daily Responsibilities
- Own and enhance a Python-based analytics application used across business teams
- Ingest, cleanse, standardize, and validate data from spreadsheets, APIs, databases, and other data sources
- Design and optimize scalable data processing workflows that improve accuracy and reliability
- Develop interactive user experiences using modern Python application frameworks
- Build reporting, visualization, and business intelligence capabilities
- Integrate internal and external data sources to enrich analytics and reporting
- Develop validation controls and quality assurance processes to improve data integrity
- Collaborate with stakeholders to gather requirements and deliver effective technical solutions
- Troubleshoot and optimize existing applications and processes
- Document architecture, workflows, and data models to support long-term maintainability
The Offer
- Fully remote work environment
- Six-month contract with potential for extension
- Opportunity to work on a business-critical analytics platform
- Exposure to modern Python development, data engineering, and analytics technologies
- Collaborative, highly visible role supporting key business initiatives
You will receive the following benefits
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Paid Time Off (PTO)
- 401(k)
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
